Director leading strategy, governance, and delivery of enterprise data platform at Phillips 66. Partnering with AI, Data Science, and business teams to enhance analytics and business systems.
About the role
- Cloud Data Engineer responsible for building and maintaining data pipelines at InTTrust. Working with Azure Data Services and Microsoft Fabric for enterprise-grade analytics solutions.
Responsibilities
- Design, build, and maintain scalable and reliable data pipelines using Azure Data Factory and Microsoft Fabric.
- Integrate structured and unstructured data from various sources into a centralized data platform.
- Collaborate with business stakeholders and data analysts to deliver high-quality datasets and analytics solutions.
- Monitor data pipeline performance and troubleshoot issues proactively.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
- 1-3 years of professional experience as a Data Engineer.
- Strong expertise with Azure Data Services (Data Factory, Synapse, Data Lake, etc.).
- Strong expertise with Spark Notebooks.
- Hands-on experience with Microsoft Fabric for data integration and analytics.
- Proficiency in Python and SQL for data processing and scripting.
- Familiarity with Power BI, Databricks, or related BI tools is a plus.
- Experience with data modeling, ETL/ELT processes, and data warehousing concepts is a plus.
- Proficient in the English language.
Benefits
- Competitive salary package commensurate with experience.
- Private medical insurance plan.
- Company provided laptop and equipment.
- Access to training and development programs.
- Opportunities for career advancement and growth.
- A collaborative and supportive workplace culture.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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